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The new UN interagency maternal
mortality estimates
Agbessi Amouzou and Holly Newby
Data & Analytics Section, DPS, UNICEF
1 May 2014
 Will be released on Tuesday, 6
May 2014
 Levels and trends of maternal
mortality between 1990 and
2013 for 183 countries
 Includes MMR, lifetime risk of
maternal death and numbers of
maternal deaths
 Will replace current UN
interagency estimates pertaining
to 2010
Outline of the Presentation
 Why UN Inter-Agency estimate of maternal
mortality
 Summary of issues in maternal mortality
measurement
 How the UN Inter-Agency estimates are
produced
 Highlights of new estimates
WHY UN INTER-AGENCY
ESTIMATES?
Why Inter-Agency MM Estimates?
 MMR is key indicator for MDG 5
 Global monitoring and reporting requires a harmonized
measure of MMR that is comparable across countries
 Need to obtain a measure that has same reference year
across all countries
 Maternal mortality is challenging to measure
 Similar initiative is done for under-five mortality (see
www.childmortality.org)
Maternal Mortality Estimation
Interagency Group (MMEIG)
The UN interagency estimates are produced by
the Maternal Mortality Estimation Interagency
Group (MMEIG):
• WHO (Lead)
• UNICEF
• UNFPA
• The World Bank
• Lead technical consultant (Leontine Alkema, National
University of Singapor)
• Technical Advisory Group
MATERNAL MORTALITY MEASUREMENT
Definitions
Maternal death
The death of a woman while pregnant
or within 42 days of termination of
pregnancy, irrespective of the duration
and site of the pregnancy, from any
cause related to or aggravated by the
pregnancy or its management but not
from accidental or incidental causes.
 Death must be attributed directly or
indirectly to pregnancy or childbirth
 Requires medical certification or
verbal autopsy
 Cannot be obtained through surveys or
censuses
 No deaths beyond 42 days due to
pregnancy complications accounted for
Definition Implications
Pregnancy-related death
The death of a woman while pregnant
or within 42 days of termination of
pregnancy, irrespective of the cause of
death.
 Cause of death certification not
needed
 Can be obtained through surveys
or censuses
UN Interagency maternal mortality estimates conform to the definition of maternal death
Sources of maternal mortality data and
their limitations
 Maternal mortality data can come from a
variety of sources:
– Vital registration • Considered gold standard
• Good in only about a third of
countries
• Extensive under-reporting
and misclassification
• Even in countries with
complete vital registration,
maternal deaths may be
underreported by a factor of
1.5 – 3.0
Sources of maternal mortality data and
their limitations
 Maternal mortality data can come from a
variety of sources:
– Vital registration
– Household surveys (sisterhood method)
• Pregnancy-related deaths
• MMR very imprecise, large
confidence intervals
• Doe not produce recent
estimate: MMR refers to 7 to
9 years in the past
Sources of maternal mortality data and
their limitations
 Maternal mortality data can come from a
variety of sources:
– Vital registration
– Household surveys (sisterhood method)
– Censuses
• Pregnancy-related deaths
• Conducted every 10 years
• Need adjustment for completeness
of births and deaths
Sources of maternal mortality data and
their limitations
 Maternal mortality data can come from a
variety of sources:
– Vital registration
– Household surveys (sisterhood method, etc.)
– Censuses
– Reproductive-age mortality studies (RAMOS)
• Complicate, time-consuming and
expensive
• Under-report of maternal deaths
• Under report of number of live
births
Sources of maternal mortality data and
their limitations
 Maternal mortality data can come from a
variety of sources:
– Vital registration
– Household surveys (sisterhood method, etc.)
– Censuses
– Reproductive-age mortality studies (RAMOS)
– Verbal autopsy • Misclassification of cause of
death
• Under report of maternal
deaths
• Recall issues
Sources of maternal mortality data and
their limitations
 Maternal mortality data can come from a
variety of sources:
– Vital registration
– Household surveys (sisterhood method, etc.)
– Censuses
– Reproductive-age mortality studies (RAMOS)
– Verbal autopsy
Bottom line:
 Each source has advantages and limitations.
 Measurement is challenging regardless of
source.
 There is need to adjust and harmonize
available data for cross country
comparability and global reporting
Issues to keep in mind
 Survey estimates of MMR are averages over periods
of 7 or 9 years in the past, so not comparable to UN
Interagency estimates
 MMR generally have large uncertainty ranges
 Maternal death is a rare event; MMR is expressed in
per 100,000 live births and therefore creates a false
sense of precision
– 300/100,000 = 0.30/100
– 330/100,000 = 0.33/100
MMR of 300 may not
be different from
MMR of 330
Trend Estimation from Sibling Histories
with 95% Confidence Intervals (Namibia)
Estimates are averages over long periods (here 7 or 9 years) and 95%
confidence intervals are large
0
100
200
300
400
500
600
1985 1990 1995 2000 2005
Year
1992 DHS 2000 DHS
2007 DHS
Source: Ken Hill – UN maternal mort workshop, Nairobi December 2010
The 2007 MMR
refers to period
1998 -2007
Trend Estimation from Sibling Histories
with 95% Confidence Intervals (Namibia)
Estimates are averages over long periods (here 7 or 9 years) and 95%
confidence intervals are large
0
100
200
300
400
500
600
1985 1990 1995 2000 2005
Year
1992 DHS 2000 DHS
2007 DHS
Source: Ken Hill – UN maternal mort workshop, Nairobi December 2010
The 2000 MMR has
95%CI ranging from
90 to 450
Trend Estimation from Sibling Histories
with 95% Confidence Intervals (Namibia)
Estimates are averages over long periods (here 7 or 9 years) and 95%
confidence intervals are large
0
100
200
300
400
500
600
1985 1990 1995 2000 2005
Year
1992 DHS 2000 DHS
2007 DHS
Source: Ken Hill – UN maternal mort workshop, Nairobi December 2010
Note that this is at the
national level! It’s not possible
to disaggregate by region or
other characteristics like
household wealth!
HOW ARE THE UN INTER-AGENCY
ESTIMATES DONE?
Source of data for the 2013 MMR estimates
Group Source of maternal
mortality data
Number of
countries/
territories
% of
countries/
territories in
each category
% of births
in 183
countries/te
rritories
covered
A Civil registration
characterized as complete,
with good attribution of
cause of death
67 37 17
B Incomplete civil registration
and/or other types of data
96 52 81
C No national data on
maternal mortality
20 11 2
Total 183 100 100
General methodology of estimation
Little change from methodology used
for 2010 estimates
1. Compile and review all available nationally
representative maternal mortality data
2. Adjust available maternal mortality data for
misclassification and underreporting
3. Use one of two approaches depending on country
– Countries with adequate civil registration data
• Calculate MMR directly with adjusted
– All other countries:
• Use multilevel linear regression model
• Covariates: GDP, general fertility rate and skilled attendant at
birth
• Separate model component for AIDS deaths that are indirect
maternal deaths
4. Compute uncertainty ranges through simulations
General methodology of estimation
Methodological changes from the
2010 estimates?
 Increased data availability
– 5% increase in available data
 Update in the estimate of female deaths in the
reproductive age by WHO
 Update of series of live births and general
fertility rates from World Population Prospects
 Update in AIDS adjustment parameters
Methodological changes from the
2010 estimates?
 Data availability
– 5% increase in available data
 Update in the estimate of female deaths in the
reproductive age by WHO
 Update of series of live births and general
fertility rates from World Population Prospects
 Update in AIDS adjustment parameters
Little change from methodology used
for 2010 estimates
Review process
 Reviewed by the Technical Advisory Group
with experts from academic institutions:
Harvard University, Johns Hopkins University,
University of Aberdeen, and others
 Country consultation led by WHO allowed
countries to provide feedback and provide
new data
STOP!
 The 2013 UN interagency estimates REPLACE
the previous estimates and should not be
compared or interpreted together with them
 The 2013 estimates are NOT comparable to
estimates from other sources
Maternal mortality estimates generated by
countries
 At the global level, we use the interagency estimates for MDG
reporting and official monitoring
 UNICEF presents both nationally reported estimates and UN
interagency estimates in State of the World’s Children
TABLE 8
Embargoed until May 6, 2014 ----------------------
990
550
200
140
170
65
940
430
12
380
680
280
140
93
100
36
610
300
11
270
510
190
110
85
74
27
440
230
15
210
0
200
400
600
800
1000
1200
1990 2005 2013
Trends in Maternal Mortality Ratio
(Embargoed until May 6, 2014)
By UNICEF regions
Source: Trends in Maternal Mortality: 1990-2013 (WHO, UNICEF, UNFPA, World Bank)
Resources
 Complete methodological details and all data available on:
www.who.int/reproductivehealth/publications/monitoring/xxxxxxxxx/en/ind
ex.html and MME Info: www.maternalmortalitydata.org
More information on new estimates available (from
May 6) at:
 Data.unicef.org
 We are in process of updating the MMEIG website MM Info
(maternalmortalitydata.org)
To be released on
6 May 2014!
Contacts
Agbessi Amouzou
aamouzou@unicef.org
Holly Newby
hnewby@unicef.org

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2013-interagency-maternal-mortality-estimates_May22014R2_118.pptx

  • 1. The new UN interagency maternal mortality estimates Agbessi Amouzou and Holly Newby Data & Analytics Section, DPS, UNICEF 1 May 2014
  • 2.  Will be released on Tuesday, 6 May 2014  Levels and trends of maternal mortality between 1990 and 2013 for 183 countries  Includes MMR, lifetime risk of maternal death and numbers of maternal deaths  Will replace current UN interagency estimates pertaining to 2010
  • 3. Outline of the Presentation  Why UN Inter-Agency estimate of maternal mortality  Summary of issues in maternal mortality measurement  How the UN Inter-Agency estimates are produced  Highlights of new estimates
  • 5. Why Inter-Agency MM Estimates?  MMR is key indicator for MDG 5  Global monitoring and reporting requires a harmonized measure of MMR that is comparable across countries  Need to obtain a measure that has same reference year across all countries  Maternal mortality is challenging to measure  Similar initiative is done for under-five mortality (see www.childmortality.org)
  • 6. Maternal Mortality Estimation Interagency Group (MMEIG) The UN interagency estimates are produced by the Maternal Mortality Estimation Interagency Group (MMEIG): • WHO (Lead) • UNICEF • UNFPA • The World Bank • Lead technical consultant (Leontine Alkema, National University of Singapor) • Technical Advisory Group
  • 8. Definitions Maternal death The death of a woman while pregnant or within 42 days of termination of pregnancy, irrespective of the duration and site of the pregnancy, from any cause related to or aggravated by the pregnancy or its management but not from accidental or incidental causes.  Death must be attributed directly or indirectly to pregnancy or childbirth  Requires medical certification or verbal autopsy  Cannot be obtained through surveys or censuses  No deaths beyond 42 days due to pregnancy complications accounted for Definition Implications Pregnancy-related death The death of a woman while pregnant or within 42 days of termination of pregnancy, irrespective of the cause of death.  Cause of death certification not needed  Can be obtained through surveys or censuses UN Interagency maternal mortality estimates conform to the definition of maternal death
  • 9. Sources of maternal mortality data and their limitations  Maternal mortality data can come from a variety of sources: – Vital registration • Considered gold standard • Good in only about a third of countries • Extensive under-reporting and misclassification • Even in countries with complete vital registration, maternal deaths may be underreported by a factor of 1.5 – 3.0
  • 10. Sources of maternal mortality data and their limitations  Maternal mortality data can come from a variety of sources: – Vital registration – Household surveys (sisterhood method) • Pregnancy-related deaths • MMR very imprecise, large confidence intervals • Doe not produce recent estimate: MMR refers to 7 to 9 years in the past
  • 11. Sources of maternal mortality data and their limitations  Maternal mortality data can come from a variety of sources: – Vital registration – Household surveys (sisterhood method) – Censuses • Pregnancy-related deaths • Conducted every 10 years • Need adjustment for completeness of births and deaths
  • 12. Sources of maternal mortality data and their limitations  Maternal mortality data can come from a variety of sources: – Vital registration – Household surveys (sisterhood method, etc.) – Censuses – Reproductive-age mortality studies (RAMOS) • Complicate, time-consuming and expensive • Under-report of maternal deaths • Under report of number of live births
  • 13. Sources of maternal mortality data and their limitations  Maternal mortality data can come from a variety of sources: – Vital registration – Household surveys (sisterhood method, etc.) – Censuses – Reproductive-age mortality studies (RAMOS) – Verbal autopsy • Misclassification of cause of death • Under report of maternal deaths • Recall issues
  • 14. Sources of maternal mortality data and their limitations  Maternal mortality data can come from a variety of sources: – Vital registration – Household surveys (sisterhood method, etc.) – Censuses – Reproductive-age mortality studies (RAMOS) – Verbal autopsy Bottom line:  Each source has advantages and limitations.  Measurement is challenging regardless of source.  There is need to adjust and harmonize available data for cross country comparability and global reporting
  • 15. Issues to keep in mind  Survey estimates of MMR are averages over periods of 7 or 9 years in the past, so not comparable to UN Interagency estimates  MMR generally have large uncertainty ranges  Maternal death is a rare event; MMR is expressed in per 100,000 live births and therefore creates a false sense of precision – 300/100,000 = 0.30/100 – 330/100,000 = 0.33/100 MMR of 300 may not be different from MMR of 330
  • 16. Trend Estimation from Sibling Histories with 95% Confidence Intervals (Namibia) Estimates are averages over long periods (here 7 or 9 years) and 95% confidence intervals are large 0 100 200 300 400 500 600 1985 1990 1995 2000 2005 Year 1992 DHS 2000 DHS 2007 DHS Source: Ken Hill – UN maternal mort workshop, Nairobi December 2010 The 2007 MMR refers to period 1998 -2007
  • 17. Trend Estimation from Sibling Histories with 95% Confidence Intervals (Namibia) Estimates are averages over long periods (here 7 or 9 years) and 95% confidence intervals are large 0 100 200 300 400 500 600 1985 1990 1995 2000 2005 Year 1992 DHS 2000 DHS 2007 DHS Source: Ken Hill – UN maternal mort workshop, Nairobi December 2010 The 2000 MMR has 95%CI ranging from 90 to 450
  • 18. Trend Estimation from Sibling Histories with 95% Confidence Intervals (Namibia) Estimates are averages over long periods (here 7 or 9 years) and 95% confidence intervals are large 0 100 200 300 400 500 600 1985 1990 1995 2000 2005 Year 1992 DHS 2000 DHS 2007 DHS Source: Ken Hill – UN maternal mort workshop, Nairobi December 2010 Note that this is at the national level! It’s not possible to disaggregate by region or other characteristics like household wealth!
  • 19. HOW ARE THE UN INTER-AGENCY ESTIMATES DONE?
  • 20. Source of data for the 2013 MMR estimates Group Source of maternal mortality data Number of countries/ territories % of countries/ territories in each category % of births in 183 countries/te rritories covered A Civil registration characterized as complete, with good attribution of cause of death 67 37 17 B Incomplete civil registration and/or other types of data 96 52 81 C No national data on maternal mortality 20 11 2 Total 183 100 100
  • 21. General methodology of estimation Little change from methodology used for 2010 estimates 1. Compile and review all available nationally representative maternal mortality data 2. Adjust available maternal mortality data for misclassification and underreporting
  • 22. 3. Use one of two approaches depending on country – Countries with adequate civil registration data • Calculate MMR directly with adjusted – All other countries: • Use multilevel linear regression model • Covariates: GDP, general fertility rate and skilled attendant at birth • Separate model component for AIDS deaths that are indirect maternal deaths 4. Compute uncertainty ranges through simulations General methodology of estimation
  • 23. Methodological changes from the 2010 estimates?  Increased data availability – 5% increase in available data  Update in the estimate of female deaths in the reproductive age by WHO  Update of series of live births and general fertility rates from World Population Prospects  Update in AIDS adjustment parameters
  • 24. Methodological changes from the 2010 estimates?  Data availability – 5% increase in available data  Update in the estimate of female deaths in the reproductive age by WHO  Update of series of live births and general fertility rates from World Population Prospects  Update in AIDS adjustment parameters Little change from methodology used for 2010 estimates
  • 25. Review process  Reviewed by the Technical Advisory Group with experts from academic institutions: Harvard University, Johns Hopkins University, University of Aberdeen, and others  Country consultation led by WHO allowed countries to provide feedback and provide new data
  • 26. STOP!  The 2013 UN interagency estimates REPLACE the previous estimates and should not be compared or interpreted together with them  The 2013 estimates are NOT comparable to estimates from other sources
  • 27. Maternal mortality estimates generated by countries  At the global level, we use the interagency estimates for MDG reporting and official monitoring  UNICEF presents both nationally reported estimates and UN interagency estimates in State of the World’s Children TABLE 8
  • 28. Embargoed until May 6, 2014 ---------------------- 990 550 200 140 170 65 940 430 12 380 680 280 140 93 100 36 610 300 11 270 510 190 110 85 74 27 440 230 15 210 0 200 400 600 800 1000 1200 1990 2005 2013 Trends in Maternal Mortality Ratio (Embargoed until May 6, 2014) By UNICEF regions Source: Trends in Maternal Mortality: 1990-2013 (WHO, UNICEF, UNFPA, World Bank)
  • 29. Resources  Complete methodological details and all data available on: www.who.int/reproductivehealth/publications/monitoring/xxxxxxxxx/en/ind ex.html and MME Info: www.maternalmortalitydata.org More information on new estimates available (from May 6) at:  Data.unicef.org  We are in process of updating the MMEIG website MM Info (maternalmortalitydata.org)
  • 30. To be released on 6 May 2014! Contacts Agbessi Amouzou aamouzou@unicef.org Holly Newby hnewby@unicef.org

Editor's Notes

  1. This inter-agency group began working together in the mid-1990s with the goal of providing a more accurate assessment of the global maternal mortality burden, as well as comparable estimates across countries. The MMEIG has produced peer reviewed sets of estimates that have been critical for MDG5 monitoring and reporting.
  2. Vital registration: Considered gold standard, however…. Relatively few countries have complete vital registration and good attribution of cause of death Extensive under-reporting and misclassification Even in countries with complete vital registration, maternal deaths may be underreported by a factor of 1.5 – 3.0
  3. Vital registration: Considered gold standard, however…. Relatively few countries have complete vital registration and good attribution of cause of death Extensive under-reporting and misclassification Even in countries with complete vital registration, maternal deaths may be underreported by a factor of 1.5 – 3.0 Household surveys (sisterhood method): Only source of information in many developing countries, however…. Estimates refer to a period 0-6 or 0-9 years before the survey Wide confidence intervals
  4. Household surveys (sisterhood method): Only source of information in many developing countries, however…. Estimates refer to a period 0-6 or 0-9 years before the survey Wide confidence intervals
  5. Vital registration: Considered gold standard, however…. Relatively few countries have complete vital registration and good attribution of cause of death Extensive under-reporting and misclassification Even in countries with complete vital registration, maternal deaths may be underreported by a factor of 1.5 – 3.0 Household surveys (sisterhood method): Only source of information in many developing countries, however…. Estimates refer to a period 0-6 or 0-9 years before the survey Wide confidence intervals
  6. Vital registration: Considered gold standard, however…. Relatively few countries have complete vital registration and good attribution of cause of death Extensive under-reporting and misclassification Even in countries with complete vital registration, maternal deaths may be underreported by a factor of 1.5 – 3.0 Household surveys (sisterhood method): Only source of information in many developing countries, however…. Estimates refer to a period 0-6 or 0-9 years before the survey Wide confidence intervals
  7. Vital registration: Considered gold standard, however…. Relatively few countries have complete vital registration and good attribution of cause of death Extensive under-reporting and misclassification Even in countries with complete vital registration, maternal deaths may be underreported by a factor of 1.5 – 3.0 Household surveys (sisterhood method): Only source of information in many developing countries, however…. Estimates refer to a period 0-6 or 0-9 years before the survey Wide confidence intervals
  8. Official MDG5 estimates Countdown to 2015